Here, I’ll describe how we use machine learning analytics to make sense of all of this complex data - that is, to identify promising drug compounds while simultaneously avoiding high risk ones. As ...

Head-to-head comparison: Azure Machine Learning vs. IBM Watson Model training and development. Azure ML offers more features for data preparation, transformation, normalization and model training ...

EHR data may be particularly suitable for machine learning (ML) techniques, as such algorithms can process high-dimensional data and capture nonlinear relationships between variables. By comparison, ...